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The issue of PM2.5 is becoming a popular atmospheric research hotpot recently. This particular paper evaluates the era reasons as well as influencing factors associated with PM2.5 based on the information associated with PM2.5 in Xing Tai (2014. 01. 01 - 2014. 04. 26), and builds the actual era as well as evolution mode of PM2.5 in Xing Tai by utilizing evolutionary algorithms formula and BP neuron...
Daily solar radiation prediction is a nonlinear and non-stationary process. It's hard to model with a single method. A Genetic Algorithm Optimization of Wavelet Neural Network (GAO-WNN) model was set in this paper. The nonlinear process of daily solar radiation was forecasted by neural network and the non-stationary process of daily solar radiation was decomposed into quasi-stationary at different...
Classification is the most researched topic of neural networks. There are a great number of literature that analyze application of neural networks as a method of classification in different spheres of humans' life. This paper shows the general review of these spheres. Examples include many problems in business, science and medicine, that can be solved by the neural networks algorithms of classification.
This paper presents EMBRACE-SysC, a simulation-based design exploration framework for the EMBRACE mixed signal Network on Chip (NoC)-based hardware Spiking Neural Network (SNN) architecture. EMBRACE-SysC incorporates Genetic Algorithm-based training of SNN applications. Results illustrate the application of EMBRACE-SysC for performance analysis of a NoC-based SNN architecture. The development of EMBRACE-SysC...
A new combined BP neural network model based on accelerating genetic algorithm is put forward in this paper. On the foundation of traditional BP neural network, this method is given better iteration values improved by accelerating genetic algorithm, thus and increase iteration rate and avoid sinking into local minimum. Then, it is applied to forecast the heat load in a certain area, and compared with...
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